Influence of Early Apical Release on Outcomes in Endoscopic Enucleation of the Prostate: Results From a Multicenter Series of 4392 Patients
Bibliographic record
Abstract
OBJECTIVE: To evaluate outcomes after laser endoscopic enucleation of the prostate (EEP) stratified by whether early apical release (EAR) was performed or not. METHODS: We retrospectively reviewed patients with clinical benign prostatic hyperplasia who underwent EEP with holmium or thulium fiber laser in 8 centers (January 2020-January 2022). EXCLUSION CRITERIA: previous prostate/urethral surgery, prostate cancer, pelvic radiotherapy, concomitant lower urinary tract surgery. One-to-one propensity score-matching was performed between patients with EAR vs no EAR, with covariates including age, prostate volume, diabetes mellitus, hypertension, preoperative indwelling catheter, IPSS, Qmax, enucleation, and laser types. Multivariable logistic regression analyses were performed to evaluate independent predictors of 30-day postoperative complications and urinary incontinence. RESULTS: EAR was performed in 2094 of 4392 included patients. The matched cohort consisted of 787 patients per arm. Total operation time was significantly longer in the EAR group (median 75 vs 67 minutes, P = .004). Early complications were higher in the EAR group (18.6% vs 12.5%, P = .001), while postoperative incontinence rates were similar (14.1% vs 13.1%, P = .61). Multivariable regression analysis showed that 3-lobe enucleation and operation time were significant predictors of postoperative complications; preoperative indwelling catheterization, higher prostate volume, and en-bloc enucleation were associated with higher odds of postoperative incontinence. LIMITATION: retrospective nature. CONCLUSION: Performing EAR during EEP is associated with a greater incidence of early complications, which was mainly driven by higher rates of postoperative hematuria and perioperative transfusion. The risk of postoperative incontinence and its duration are not affected by EAR.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".